Preparing for pandemic response in the context of limited resources
Jair Andrade,
Berend Beishuizen,
Mart Stein,
Máire Connolly and
Jim Duggan
System Dynamics Review, 2024, vol. 40, issue 3
Abstract:
Pandemics are outbreaks of an infectious disease that increase morbidity and mortality over a wide geographic area. These events require large‐scale interventions from governments and health agencies to curtail transmission within a population. In assessing the impact of these interventions, policymakers avail themselves of simulations from compartmental models. However, it is commonplace that modellers employ fixed fractions to represent interventions, which implicitly assume that resources instantaneously and boundlessly adjust to the desired target and may predict overly optimistic outcomes. Here, we propose a model that integrates four crucial countermeasures subject to resource constraints. We present this structure utilising the concept of small models and frame the simulations in the context of a hypothetical spread of influenza in the Netherlands, drawing on empirical data. After incorporating resource constraints, we find that only a comprehensive response controls the disease. These findings highlight the need for improving strategic plans to support pandemic preparedness. © 2024 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/sdr.1775
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:sysdyn:v:40:y:2024:i:3:n:e1775
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0883-7066
Access Statistics for this article
More articles in System Dynamics Review from System Dynamics Society
Bibliographic data for series maintained by Wiley Content Delivery ().